theme-d-rte

Theme-D runtime environment

This package is needed to run Theme-D programs. The package contains the Theme-D runtime environment and script run-theme-d-program to run Theme-D programs.

dhis-tools-dns

Dynamic Host Information System - DNS configuration tools

This package includes a set of tools that may be used to manually create DHIS records on a dynamic DNS server.

gnome-desktop-environment

The GNOME Desktop Environment - transitional package

libdolfinx-complex0.6gcc13

Shared libraries for DOLFIN

DOLFIN is the Python and C++ interface of the FEniCS project for the automated solution of differential equations, providing a consistent PSE (Problem Solving Environment) for solving ordinary and partial differential equations. Key features include a simple, consistent and intuitive object-oriented API; automatic and efficient evaluation of variational forms; automatic and efficient assembly of linear systems; and support for general families of finite elements.

libsejda-injector-java

lightweight dependency injection engine

Sejda-injector is a simple dependency injection engine based on a similar library called Feather and is mainly used in PDFsam. Dependency injection is a technique whereby one object supplies the dependencies of another object.

libsharp0

fast spherical harmonic transforms - C/C++ development library

libsharp is a library for spherical harmonic transforms (SHTs), which evolved from the libpsht library, addressing several of its shortcomings, such as adding MPI support for distributed memory systems and SHTs of fields with arbitrary spin, but also supporting new developments in CPU instruction sets like the Advanced Vector Extensions (AVX) or fused multiply-accumulate (FMA) instructions. The library is implemented in portable C99 and provides an interface that can be easily accessed from other programming languages such as C++, Fortran, Python etc. Generally, libsharp's performance is at least on par with that of its predecessor; however, significant improvements were made to the algorithms for scalar SHTs, which are roughly twice as fast when using the same CPU capabilities.